Uroš Mlakar

609 total citations
14 papers, 444 citations indexed

About

Uroš Mlakar is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computational Theory and Mathematics. According to data from OpenAlex, Uroš Mlakar has authored 14 papers receiving a total of 444 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 6 papers in Computer Vision and Pattern Recognition and 4 papers in Computational Theory and Mathematics. Recurrent topics in Uroš Mlakar's work include Metaheuristic Optimization Algorithms Research (9 papers), Evolutionary Algorithms and Applications (6 papers) and Advanced Multi-Objective Optimization Algorithms (3 papers). Uroš Mlakar is often cited by papers focused on Metaheuristic Optimization Algorithms Research (9 papers), Evolutionary Algorithms and Applications (6 papers) and Advanced Multi-Objective Optimization Algorithms (3 papers). Uroš Mlakar collaborates with scholars based in Slovenia and Australia. Uroš Mlakar's co-authors include Božidar Potočnik, Iztok Fister, Janez Brest, Dušan Fister, Milan Zorman, Lucija Brezočnik, Grega Vrbančič, Suash Deb, Iztok Fister and Aleš Zamuda and has published in prestigious journals such as Expert Systems with Applications, IEEE Access and Neural Computing and Applications.

In The Last Decade

Uroš Mlakar

14 papers receiving 435 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Uroš Mlakar Slovenia 7 260 159 116 49 37 14 444
Juan Yang China 12 215 0.8× 190 1.2× 55 0.5× 60 1.2× 17 0.5× 40 445
Prableen Kaur India 5 227 0.9× 56 0.4× 40 0.3× 23 0.5× 52 1.4× 9 474
Yizhang Jiang China 11 451 1.7× 180 1.1× 39 0.3× 13 0.3× 26 0.7× 15 601
Jinjie Huang China 11 307 1.2× 138 0.9× 62 0.5× 16 0.3× 46 1.2× 43 565
Ritu Vijay India 12 87 0.3× 206 1.3× 54 0.5× 31 0.6× 34 0.9× 65 430
Young-Tack Park South Korea 8 210 0.8× 249 1.6× 21 0.2× 92 1.9× 61 1.6× 48 503
Thaer Thaher Palestinian Territory 14 359 1.4× 62 0.4× 74 0.6× 32 0.7× 165 4.5× 26 637
Poonam Sharma India 12 105 0.4× 161 1.0× 40 0.3× 6 0.1× 33 0.9× 51 439
Si Wei China 17 1.0k 3.9× 270 1.7× 33 0.3× 52 1.1× 91 2.5× 59 1.3k
Adis Alihodžić Bosnia and Herzegovina 9 161 0.6× 145 0.9× 37 0.3× 6 0.1× 22 0.6× 25 352

Countries citing papers authored by Uroš Mlakar

Since Specialization
Citations

This map shows the geographic impact of Uroš Mlakar's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Uroš Mlakar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Uroš Mlakar more than expected).

Fields of papers citing papers by Uroš Mlakar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Uroš Mlakar. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Uroš Mlakar. The network helps show where Uroš Mlakar may publish in the future.

Co-authorship network of co-authors of Uroš Mlakar

This figure shows the co-authorship network connecting the top 25 collaborators of Uroš Mlakar. A scholar is included among the top collaborators of Uroš Mlakar based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Uroš Mlakar. Uroš Mlakar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

14 of 14 papers shown
1.
Mlakar, Uroš, Iztok Fister, & Iztok Fister. (2025). NiaAutoARM: Automated Framework for Constructing and Evaluating Association Rule Mining Pipelines. Mathematics. 13(12). 1957–1957. 2 indexed citations
2.
Mlakar, Uroš, et al.. (2023). Variable-Length Differential Evolution for Numerical and Discrete Association Rule Mining. IEEE Access. 12. 4239–4254. 3 indexed citations
3.
Mlakar, Uroš, Iztok Fister, & Iztok Fister. (2020). Impact of Solution Representation in Nature-Inspired Algorithms for Feature Selection. IEEE Access. 8. 134728–134742. 3 indexed citations
4.
Vrbančič, Grega, Lucija Brezočnik, Uroš Mlakar, Dušan Fister, & Iztok Fister. (2018). NiaPy: Python microframework for building nature-inspired algorithms. The Journal of Open Source Software. 3(23). 613–613. 49 indexed citations
5.
Fister, Iztok, Dušan Fister, Suash Deb, Uroš Mlakar, & Janez Brest. (2018). Post hoc analysis of sport performance with differential evolution. Neural Computing and Applications. 32(15). 10799–10808. 18 indexed citations
6.
Fister, Iztok, Dušan Fister, Suash Deb, Uroš Mlakar, & Janez Brest. (2017). Making up for the deficit in a marathon run. 11–15. 3 indexed citations
7.
Mlakar, Uroš, Milan Zorman, & Iztok Fister. (2017). Modified binary cuckoo search for association rule mining. Journal of Intelligent & Fuzzy Systems. 32(6). 4319–4330. 30 indexed citations
8.
Mlakar, Uroš, Iztok Fister, Janez Brest, & Božidar Potočnik. (2017). Multi-Objective Differential Evolution for feature selection in Facial Expression Recognition systems. Expert Systems with Applications. 89. 129–137. 106 indexed citations
9.
Mlakar, Uroš, et al.. (2016). Hybrid self-adaptive cuckoo search for global optimization. Swarm and Evolutionary Computation. 29. 47–72. 88 indexed citations
10.
Mlakar, Uroš, Božidar Potočnik, & Janez Brest. (2016). A hybrid differential evolution for optimal multilevel image thresholding. Expert Systems with Applications. 65. 221–232. 102 indexed citations
11.
Fister, Iztok, Janez Brest, & Uroš Mlakar. (2016). Towards the universal framework of stochastic nature-inspired population-based algorithms. 1–8. 1 indexed citations
12.
Mlakar, Uroš, Janez Brest, & Iztok Fister. (2016). A study of chaotic maps in differential evolution applied to gray-level image thresholding. 1–8. 4 indexed citations
13.
Zamuda, Aleš & Uroš Mlakar. (2015). Differential Evolution Control Parameters Study for Self-Adaptive Triangular Brushstrokes. 39(2). 2 indexed citations
14.
Mlakar, Uroš & Božidar Potočnik. (2015). Automated facial expression recognition based on histograms of oriented gradient feature vector differences. Signal Image and Video Processing. 9(S1). 245–253. 33 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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